A Classification Method of Medical Database by Immune Multi-agent Neural Networks with Planar Lattice Architecture

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A classification capability of multi expert neural networks shows some outstanding results in training a set of real training cases. Multi expert neural networks work to operate with each other based on the concept of multi agents. However, we may meet a problem of an optimal number of agents. In this paper, we apply the Planar Lattice Neural Network to find an optimal number while classifying a set of training cases. To verify the effectiveness, we report the experimental results for hepatobiliary disorders medical databases.

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